Actual Application Conditions Research Articles

CTIS spectral image reconstruction technology based on slit-scanning architecture.

The computed tomography imaging spectrometer (CTIS) is a snapshot imaging spectrometer, excelling in dynamic detection tasks. It can capture two-dimensional spatial information and spectrally compressed information of a target within a single exposure time. However, traditional CTIS image reconstruction algorithms suffer from missing-cone problem, which reduces the accuracy of spectral reconstruction. In recent years, deep learning has been applied to CTIS spectral image reconstruction, significantly improving spectral reconstruction accuracy compared to traditional algorithms. However, due to the missing-cone problem, it is difficult to accurately recover the truth of spectral data cube in the real scene. Currently, most CTIS neural network reconstruction models are trained using simulated datasets of spectral data cubes and diffractive images. Because these data differ significantly from real data under actual application conditions, the established models may not be effectively applicable to real-world scenes. Therefore, we propose a new CTIS system based on slit-scanning architecture utilizing an adjustable slit aperture to obtain the real spectral data cube of the target while maintaining the simplicity of the CTIS structure. By limiting the field of view (FOV) through the slit, the area of diffraction overlap can be reduced, thereby enhancing the accuracy of CTIS spectral reconstruction using the expectation-maximization (EM) algorithm. This architecture allows us to obtain accurate spectral cubes that match the CTIS diffractive image of real-world scenes, providing a real dataset for training the reconstruction network. A prototype has been built to demonstrate the feasibility of our proposed solution. Furthermore, we also constructed a residual network based on multi-scale and attention mechanism. This network is trained using a combination of simulated and real spectral imaging data. Compared to the reconstruction performance of the EM algorithm and convolutional neural networks, our approach demonstrates superior spectral reconstruction accuracy, validating the importance of real spectral data in CTIS spectral reconstruction tasks.

No‐organic solvent, no‐fluorinated waterborne superhydrophobic coatings based on SiO2 and IBTS

AbstractWaterborne superhydrophobic coatings have attracted widespread attention. However, organic solvents, fluorine‐containing compounds, and complex operational technologies hinder superhydrophobic coatings development severely. Herein, A simple method of preparing water‐based superhydrophobic coatings by one‐step spraying without organic solvent and fluorine is reported. The particles of silicon dioxide (SiO2) was modified by isobutyltriethoxysilane (IBTS), then combined with waterborne acrylic polyurethane (WPUA) and phenolic resin (PF), baked at 110°C to fabricate superhydrophobic coatings. According to the contact Angle (CA), hardness, adhesion, and other parameters, the ratio of SiO2 and PF of the composite coatings was optimized. Results showed that the superhydrophobicity and physical properties of the coating are the most exceptional at the content of SiO2 is 0.6 g, and the PF is 25%. In addition, related experimental results show that the coatings have good water resistance and self‐cleaning ability, the special nano/micro structure of the coatings also endows it excellent abrasion resistance. Exceptional hydrophobicity and physical properties meeting the actual application conditions of superhydrophobic coatings. Therefore, the simple method for preparing superhydrophobic coatings has great application prospects.

Low cycle fatigue of doped tetrahedral amorphous carbon coatings by repetitive micro scratch tests

In contrast to the conventional progressive scratch testing where load is increased up to a critical damage level, the repetitive scratch testing is an assessment of coating behavior under repeatedly applied subcritical load. It often represents a better approximation to actual application conditions of well-designed coating systems where overcritical conditions typically do not occur. In this work, the cyclic micro scratch behavior of differently doped amorphous carbon coatings with similar coating thicknesses were studied using repetitive scratch tests at loads that correspond to 40 %, 60 % and 80 % of the critical loads from progressive scratch testing. Depending on the doping element, the structural and mechanical properties changed, in some cases considerably, which also had a clear effect on the test results. The damage progression was examined using optical microscopy, friction coefficient, and residual depth measurements. The progression of failure phenomena was categorized into different stages. Furthermore, the critical number of cycles for coating failure was recorded at the various load levels. For the identification of the critical cycles, the use of the deviation of the friction coefficient from its mean value has proven to be a valuable parameter. The approach of testing at different load levels allows the creation of low cycle fatigue curves to evaluate the coating behavior. It was found that the hardness and residual stresses of the coatings had different effects on the lifetime of the coatings at the various load levels, i.e. higher hardness and residual compressive stresses were only beneficial for moderate stress levels with low plastic substrate deformation. The results demonstrate that the cyclic scratch test is a powerful tool for comparative damage assessment at different load scenarios.

High-accuracy image-free classification of high-speed rotating objects with fluctuating rotation periods

Image-free classification methods with single-pixel measuring and deep learning show a capacity for long-duration classification of moving objects. However, motion blur restricts the allowable object motion speed of existing image-free classification methods. Aimed at high-speed rotating objects, we propose an image-free classification approach based on single-pixel measuring at the same spatial position of different rotation cycles to reduce motion blur. The proposed approach allows classifying rotating objects with fluctuating rotation periods to better meet the actual application conditions. We verify the proposed method by classifying the digits placed on a rotating disk. In our experiments, when digits rotate at around 960.9 revolutions per minute, corresponding to 10.06 m/s, the classification accuracy reaches 95.9%. In theory, the allowable speed is determined only by the sampling rate of the single-pixel measurements, which can allow for higher speeds than experimentally achieved. The proposed image-free classification method provides a promising way of monitoring high-speed rotating objects in the engineering field.

Dynamic Characteristics and Optimization of Segmented Fork Arm Seat System

To improve the low-frequency vibration isolation performance and driving comfort of the engineering seat system, a segmented fork arm seat system is proposed. Firstly, the equivalent model of the n-level segmented seat system is established, the amplitude-frequency response function and phase-frequency response function of the segmented seat system are solved and analyzed. The theoretical study shows that, with the increase of segment levels, the response time of the seat system is shortened, and the attenuation rate of response amplitude is accelerated; with the increase of segment levels, the resonance peak value of the seat system tends to shift continuously, and the low-frequency vibration isolation range expands. Secondly, according to the actual application condition of a loader, the engineering structure of the 3-level segmented fork arm seat system was built, and the structure-stiffness parameters of the segmented fork arm seat system were optimized by multi-objective genetic algorithm. The optimization results show that the 3-level segmented fork arm seat system has obvious vibration reduction effect on the sensitive frequency band of the human body. The vibration reduction effect on road excitation increases by 63.2% on average under driving conditions, 75.8% on uneven road surface, and 65.2% under operating conditions, and the subjective comfort evaluation index of human body increases by two levels.

Fatigue Life Analysis of Remanufactured Radial Rolling Bearing with the Replaced Loading Zone

The replacement of the loading zone is not considered in the active calculation method on fatigue life of remanufactured bearings. In practical application, when the radial bearings are reinstalled after remanufacturing, it is required to replace the loading zone, which results in a large deviation between the calculated fatigue life according to the active calculation method and the actual life. In this paper, the fatigue life factors of radial bearings with different remanufacturing levels are calculated according to the actual application condition. The results of case studies show that with the improvement of the remanufacturing level, regardless of whether the loading zone is replaced or not, the remanufacturing bearing life factor is gradually increased and the maximum can reach 1. Considering the replacement of the loading zone, the life factors of remanufactured bearings with different fixed rings are also very different, among which the remanufacturing deviation of fixed outer-ring level II is the largest, reaching 11.3%. However, with the increase of the remanufacturing level, the deviation decreases gradually. The life factors by the method presented in this paper of remanufactured radial bearings with the replaced loading zone are significantly higher than those of the active calculation method. The research results of this paper provides a more accurate calculation scheme for the fatigue life of remanufactured radial rolling bearings, which is a supplement to the active calculation method and has important practical significance for the practice of bearing remanufacturing engineering.

Multi-Level Synthesis Gate Voltage Active Control Technology for Optimizing IGBT Switching Characteristics

Compared with the conducting and blocking steady-state processes, the voltage and current stress of IGBT become very higher in the turning-on and turning-off transient processes, and the instantaneous power loss increases significantly. The switching transient conditions greatly affect the reliability and stability of IGBT device and power converter. During the IGBT turning on process, the reverse recovery of the symmetrical bridge arm anti paralleled diode can cause additional turn-on loss and current peak overshoot. The gate voltage active control technology can effectively suppress current spike and reduce turn-on loss in the period from the initial opening time to Miller platform. The multilevel synthesis technology can adjust the gate voltage waveform and produce depression or bulge in the normal driving voltage waveform for a certain time. In this paper, the sensitive parameters of gate voltage active control, which affect the current overshoot, and turn-on loss of IGBT are studied based on the theoretical calculation and mathematical model. A multi-level synthesis gate voltage active control technology is proposed according to the principle of gate voltage active control. The relationship among the acting voltage amplitude, execution time, current peak and switching loss is studied. Considering the actual application conditions, the optimized active control scheme of gate voltage is designed. Finally, the switching characteristics test is carried out, the results verify that the proposed control technology can effectively reduce the current overshoot and turn-on loss in comparison with the conventional schemes.

EVALUATION OF THE STRESS-STRAIN STATE OF MAGNESIUM AND BIMETALLIC BALLS LOADED WITH PRESSURE IN A DRILLING WELL

In the oil industry, soluble balls made of magnesium alloys serve as plugs for temporary sealing of various sections wells. It is noted that magnesium is a metal with a low density, and therefore the gravitational force may not be enough to tightly press the ball against the valve seat. Therefore, the development of methods aimed at weighing the balls is relevant. This is achieved, for example, by manufacturing bimetallic balls, the shell of which is made of a degradable material, for example, magnesium or its alloys, a non-degradable material, for example, steel, is placed inside the shell. The purpose of the work is to compare the stress-strain state of magnesium and bimetallic (the shell is made of magnesium, inside the shell is a steel ball) balls during operation in an oil well. The scheme of operation and testing balloons under the influence of liquid under pressure is considered. The simulation was carried out in the DEFORM 2D software module. The size of the balls is selected from the actual application condition, in addition, in the case of a bimetallic ball, the diameter of the steel ball located inside the magnesium shell is set less than the inner diameter of the seat. This guarantees the passage of the ball through the seat hole after the dissolution of the magnesium shell. Calculations of the degree and rate of deformation, the average normal stress and the stress state index of magnesium and bimetallic balls are performed. The dangerous zone of the balls from the position of cracking is revealed — the zone of contact with the saddle, where the deformation is localized. In addition, it was found that in the case of loading a bimetallic ball, all deformation is concentrated in the magnesium shell, and the steel ball does not deform at all and in this case acts as a mandrel. The stress state turns out to be more favorable at the periphery of the balls, however, the maximum of the average voltage modulo a bimetallic ball is 16 % higher than this value of a magnesium ball. The center of the magnesium ball is subject to tensile stresses, which is not observed in a bimetallic ball. According to the results of the calculation of the stress state indicator in the dangerous zone of the balls, the level of σ/T of a bimetallic ball is on average 20 % higher than this indicator of a magnesium ball. Thus, a bimetallic ball in the process of loading with a liquid under pressure has a more favorable stress-strain state compared to a magnesium ball.

Comprehensive Experimental Design for Evaluating the Effect of Solid Particles on Scaling and Scale Inhibition

This experiment was designed to further develop the innovative and practical skills of undergraduate students. A comprehensive professional experiment was designed to evaluate the effect of particulate matter present in oilfield water for scale inhibitor effect based on the traditional scale inhibitor evaluation method by combining the actual application conditions. This experiment was designed to evaluate the effect of the presence of particulate matter in oilfield water on the effectiveness of scale inhibitors and to improve student’s professional skills. In order to solve the problem that the effect of scale inhibitor will be affected by the presence of a large number of insoluble solid particles in oilfield water, this experiment evaluated the applicability of scale inhibitor in actual oilfield water under different particulate matter and different concentration of experimental conditions. The experiments shows that the presence of solid particles in oilfield water will accelerate the growth rate of calcium carbonate crystals, which will accelerate the generation of calcium carbonate scale crystals and make scale inhibitors less effective. The comprehensive professional experiment was designed in this paper evaluated the effect of particulate matter on scale inhibitor effectiveness under simulated conditions in actual oilfield water, expanding the application of traditional scale inhibitor evaluation methods and improving the professional skills and adaptability of undergraduate students to oilfield conditions.

RETRACTED: The research on application of agricultural big data agricultural economic management

AbstractThis paper applies agricultural big data into agricultural economics management in order to improve agricultural economics management effects and comprehensively analyzes criterion and trending, maturity and advancement, practice and advancement, usability and extension of the platform according to the structure of agricultural economics management system by using big data. Meanwhile the paper describes the actual application condition of agricultural economics management, designs tests to analyze the agricultural economics data and digs the effects according to the agricultural economics management data through the crawler technology, and explains the application effects in the agricultural economics management. Tests and studies prove the reliability of the method put in the paper.

Implementation and Verification of Effectiveness of Bulk Emulsion Explosive with Improved Energetic Parameters in an Underground Mine Environment

Explosives are commonly used in the mining industry to extract minerals from hard rock deposits. Therefore, an efficient explosive should ensure that the appropriate blast outcome is achieved, taking into account the desired rock-breaking parameters and the costs of drilling and blasting works. Depending on the type of deposit and follow-up processes, a proper blast result may be characterized by fragmentation, muckpile shape, overbreaks, etc. Industry has struggled to respond to the demand for bulk emulsion explosives with improved energetic parameters, having so far been unable to do so safely, effectively, and cost-efficiently. Methods of improving blasting parameters mainly rely on introducing a variety of additives to the emulsion explosive formulation during production, which creates additional hazards at that stage. Alternative, safe methods of achieving an improved energetic performance of emulsion explosives are, therefore, highly desirable. This paper is focused on one such proposed method as a continuation of previous research works and the performance of a novel bulk emulsion formulation under real mining conditions during the firing of mine faces is described. The tests included density measurements over time, measurements of impact and friction sensitivity, measurements of the detonation velocity in blastholes, determination of brisance via Hess test, and analysis of rock fragmentation. Results were compared with those obtained with a commercially available bulk emulsion explosive, highlighting that the performance improvement achieved by the proposed emulsion modification method is not limited to artificial test conditions, but translates well into actual application conditions.

Ultrathin MnO2-Coated FeOOH Catalyst for Indoor Formaldehyde Oxidation at Ambient Temperature: New Insight into Surface Reactive Oxygen Species and In-Field Testing in an Air Cleaner.

Herein, we tailored a series of ultrathin MnO2 nanolayers coated on the surface of commercial goethite (α-FeOOH) by a facile in situ chemical precipitation method. α-FeOOH inhibited the MnO2 crystal growth via the incorporation of K+ ions between MnO2 and α-FeOOH interfaces during the synthesis process. The hybrid design of MnO2 with an ultrathin nanolayer structure could reduce the electron transfer resistance and bring abundant oxygen vacancies, accelerating the activation of molecular O2 to generate more oxygen-free radical species and favoring the thermodynamic HCHO oxidation. The ROS quenching in gas/aqueous systems and DRIFTS results demonstrated that •O2- was responsible for HCHO oxidization, which assisted the preliminary intermediate dioxymethylene dehydrogenation into formate species. The 25%MnO2@FeOOH(25wt% of MnO2) catalyst was subsequently loaded into the filter substrates of a commercial air cleaner and tested in an indoor room with actual application conditions. As a result, the composite filter could eliminate different initial concentrations of HCHO (150-450 ppb) to the WHO guideline value (≈81 ppb) within 60 min. Furthermore, the 25%MnO2@FeOOH sample was also effective against the representative bacteria and mold in indoor air. This study provides new insight into the role of the chemisorbed ROS for HCHO oxidation at ambient temperature.

Epoxide functionalization of a pentaethylenehexamine adsorbent supported on macroporous silica for post-combustion CO2 capture

N-functionalized solid adsorbents have been studied for post-combustion CO2 capture. Most studies have focused only on the adsorption condition of the adsorbents. Few studies have focused on the regeneration condition of adsorbents. Regeneration is required under the condition of 100 % CO2 for high-purity CO2 separation. Regeneration under inert conditions such as N2 or He, not under the condition of 100 % CO2 regeneration are required additional cost for high-purity CO2 separation. In this study, a macroporous silica (MPS) support, which combined a high surface area, large porosity and large pore volume, was selected as the support to achieve high CO2 capture performance. Pentaethylenehexamine (PEHA) was selected because of its high amine content, high adsorption capacity, high thermal stability, and low cost. The epoxide functionalization of PEHA was used to suppress the urea formation under regeneration conditions. The working capacity and cyclic stability of epoxide functionalization of MPS-based PEHA adsorbents were investigated. A working capacity of 1.8 mmol g−1 was maintained by repeating adsorption and desorption experiments 20 times under an adsorption condition of 15 % CO2 and a desorption condition of 100 % CO2. Additionally, the stability of the adsorbent under a 100 % CO2 regeneration condition was confirmed by maintaining the working capacity constant during 20 repeated adsorption and desorption cycle experiments. When the adsorption time was reduced to minimize H2O adsorption, the regeneration heat of the adsorbent was 2.86 GJ tCO2-1. These results demonstrated that the regeneration ability was excellent under the condition of 100 % CO2, which is the actual process application condition. This approach is promising for industrial applications of CO2 capture technology.

Structural Analysis and Construction of a Thermostable Antifungal Chitinase.

Chitin is a biopolymer of N-acetyl-d-glucosamine with β-1,4-bond and is the main component of arthropod exoskeletons and the cell walls of many fungi. Chitinase (EC 3.2.1.14) is an enzyme that hydrolyzes the β-1,4-bond in chitin and degrades chitin into oligomers. It has been found in a wide range of organisms. Chitinase from Gazyumaru (Ficus microcarpa) latex exhibits antifungal activity by degrading chitin in the cell wall of fungi and is expected to be used in medical and agricultural fields. However, the enzyme's thermostability is an important factor; chitinase is not thermostable enough to maintain its activity under the actual application conditions. In addition to the fact that thermostable chitinases exhibiting antifungal activity can be used under various conditions, they have some advantages for the production process and long-term preservation, which are highly demanded in industrial use. We solved the crystal structure of chitinase to explore the target sites to improve its thermostability. We rationally introduced proline residues, a disulfide bond, and salt bridges in the chitinase using protein-engineering methods based on the crystal structure and sequence alignment among other chitinases. As a result, we successfully constructed the thermostable mutant chitinases rationally with high antifungal and specific activities. The results provide a useful strategy to enhance the thermostability of this enzyme family. IMPORTANCE We solved the crystal structure of the chitinase from Gazyumaru (Ficus microcarpa) latex exhibiting antifungal activity. Furthermore, we demonstrated that the thermostable mutant enzyme with a melting temperature (Tm) 6.9°C higher than wild type (WT) and a half-life at 60°C that is 15 times longer than WT was constructed through 10 amino acid substitutions, including 5 proline residues substitutions, making disulfide bonding, and building a salt bridge network in the enzyme. These mutations do not affect its high antifungal activity and chitinase activity, and the principle for the construction of the thermostable chitinase was well explained by its crystal structure. Our results provide a useful strategy to enhance the thermostability of this enzyme family and to use the thermostable mutant as a seed for antifungal agents for practical use.

Review of calculating models of unsteady natural ventilation rate due to wind fluctuations

Natural ventilation is an important form of sustainable building technique that can be used to adjust the indoor environment to ensure indoor thermal comfort and maintain acceptable indoor air quality. Correct estimation of the ventilation rate is a necessary step in natural ventilation design. Natural wind fluctuation and interaction between the wind and buildings determine models of mean flow rate inaccuracy in predicting actual ventilation. In this paper, a summary of calculation models for unsteady natural ventilation is given. Unsteady natural ventilation mechanisms are classified into continuous airflow, pulsating flow, eddy penetration and diffusion phenomena. The theories of different ventilation mechanisms and the differences between various research reports are expounded and discussed. Additionally, an in-situ measurement of the eddy penetration caused by wind turbulence at the opening was conducted to verify the proposed model. The actual application condition of different eddy penetration models is proposed via the comparison between previous models. With respect to the ‘pumping’ mechanism, this is regarded as a special type of eddy penetration for the first time. Research on ‘pumping’ airflow has just started, the mechanism and influencing factors of which will need to be further explored.

High reversible cycling performance of carbon dioxide electrolysis by flat-tube solid oxide cell

Solid oxide cells (SOCs) are promising for CO2 electrolysis. In this work, performance and stability of flat-tube SOCs during periodic cycles of CO2 electrolysis and hydrogen fuel discharge were studied. The cell underwent 26 reversible cycles of operation for 624 h. When the cell was electrolyzed with a current density of −200 mA/cm2 at 1.07 V, the CO yield was 205.79 sccm and the CO2 conversion rate reached 45.7%. When the cell was operated in electrolysis mode, the degradation rate was 0.74 mV/h. Excluding the air heat consumption, the energy conversion efficiency was 81.42%; when the cell was operated at 0.6 slm hydrogen and +200 mA/cm2, the degradation rate was 0.385 mV/h. Compared with long-term constant current electrolysis, the alternate operation of charge and discharge used in this study is more typical of the actual application conditions.

State of Energy Estimation for Lithium-Ion Battery Pack via Prediction in Electric Vehicle Applications

Accurate state of energy (SOE) estimation of the battery pack is very important for the electric vehicle's driving range estimation, which is still a very challenging problem under actual vehicle application conditions at present. This paper proposes a method for estimating the SOE of the battery pack based on prediction, taking into account the future voltage and temperature changes of the battery pack. Firstly, a novel definition of the battery pack SOE is proposed, which considers the inconsistency of the battery pack. Secondly, the thermo-electric lumped parameter equivalent circuit model of a single cell in the battery pack is applied. The electrical parameters are identified using the forgetting factor recursive least-squares algorithm, and the extended Kalman filter is used to estimate the SOC of each cell. Finally, the future current, voltage and temperature response of the cell in the battery pack are accurately predicted and iterative calculations are performed to get SOE under the condition that the future output power of the battery pack is predicted by the Markov chain model method. The effectiveness of the proposed method is verified under dynamic conditions at different temperatures. The results show that the above method has high precision and good robustness, and can meet the needs of actual vehicle applications.

Hardware Design of Online Monitoring Device for the High-voltage Vacuum Circuit Breaker

In order to monitor the mechanical structure status of high-voltage vacuum circuit breakers in real time and diagnose faults online, a hardware design scheme of an online monitoring device for 10kV vacuum circuit breakers is proposed in this paper. From the perspective of practical application, this design scheme fully considers the practical working conditions of the monitoring device. The device not only monitors the mechanical vibration of the circuit breaker, the rotation stroke of the spindle and the position signal of the mechanical switch, but also monitors both the voltage and current of the opening (closing) coil, the energy storage motor and the closing lock coil. In this paper, in order to adapt the monitoring device to the actual application conditions, a modular design is adopted, the isolation and protection performance of the ports is strengthened and the integration degree of the device is increased.

Research on Dynamic Stability Optimization of Rock Spreader considering Prevention of Geological Subsidence and Local Collapse in Reclamation Area

The uneven stacking of waste rock materials caused by the dynamic instability of rock spreaders cannot be ignored for geological subsidence and local collapse in reclamation areas. Based on the dynamic stability of the existing rock spreader, combined with the actual application conditions, the load conditions of the rock spreader are analyzed. The static and dynamic analysis and optimization of the key structures such as the receiving arm, the discharging arm, and the main tower are carried out by using the topology optimization method. The optimized virtual prototype of the whole machine is established to verify its rationality. The research results show that the total weight of key parts such as receiving boom, discharging boom, and the main tower is reduced by about 4.5% (4650 kg), the lower-order vibration frequencies below the fifth order of those parts are not within the resonance range, and the stability of the whole machine is greatly improved, which fundamentally solves the problem of uneven rock stacking caused by impact stability. And, the maximum stress and deflection of the whole machine under the worst working conditions meet the actual requirements. The research ideas and conclusions can provide solutions to prevent the subsidence or local collapse of reclamation areas caused by uneven stacking materials.

Strong Periodic Tendency of Trivalent Lanthanides Coordinated with a Phenanthroline-Based Ligand: Cascade Countercurrent Extraction, Spectroscopy, and Crystallography.

Phenanthroline-diamide ligands have been reported in the selective separation of actinides over Eu(III); on the contrary, relevant basic coordination chemistry studies are still limited, and extraction under actual application conditions is rarely involved. In this work, N,N'-diethyl-N,N'-ditolyl-2,9-diamide-1,10-phenanthroline [Et-Tol-DAPhen (L)] was applied to explore the coordination performance of lanthanides in simulative high-level liquid waste. For the first time, cascade countercurrent extraction was conducted with Et-Tol-DAPhen as the extractant, which reveals the periodic tendency of the extraction efficiency of lanthanides to decrease gradually as the atomic number increases. Comparison of elements with similar radii verifies the hypothesis that the increase in the atomic number leads to a decrease in the ionic radius, thus reducing the coordination and extraction capacity of ligands. Slope analysis, electrospray ionization mass spectrometry, and ultraviolet-visible titration results show that the ligand forms 1:1 and 1:2 complexes with lanthanides and the coordination ability follows the tendency of extraction efficiency, and the first crystal structures of Lns(III) with a phenanthroline-diamide ligand, i.e., [LaL(NO3)3(H2O)] and [LaL2(NO3)2][(NO3)], were obtained, which confirms the conclusions described above. This work promises to enhance our comprehension of the chemical properties of Lns(III) and offer new clues for the design and synthesis of novel separation ligands.